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PPO-CPQ: A Privacy-Preserving Optimization of Clinical Pathway Query for E-Healthcare Systems
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2020-07-07 , DOI: 10.1109/jiot.2020.3007518
Mingwu Zhang , Yu Chen , Willy Susilo

With the help of patients’ health data, e-healthcare providers can offer reliable data services for better medical treatment. For example, the clinical pathway provides optimal detailed guidance for the clinical treatment. However, the e-healthcare providers are incompetent with the huge volumes of e-healthcare data, and a popular and feasible solution is used to outsource the medical data to powerful cloud servers (CSs). Because the medical data are very sensitive yet the outsourced servers are not fully trusted, the straightforward execution of clinical pathway query service will inevitably bring huge privacy risks to patients’ data. Apart from the privacy issues, the efficiency issues also need to be taken into consideration, such as the communication overhead and computational cost between servers and providers. Considering the above issues, this article proposes a privacy-preserving optimization of clinical pathway query scheme (PPO-CPQ) to achieve the secure clinical pathway query under e-healthcare CSs without revealing neither the private information of patients, such as name, gender, age, and physical index, nor the sensitive information of hospitals, such as treatment, medication, and expense. In our proposed scheme, it first designs secure and privacy-preserving several subprotocols, such as privacy-preserving comparison, privacy-preserving clinical comparison, privacy-preserving stage selection, and privacy-preserving stage update protocol, to ensure privacy in the e-healthcare system, then it adopts the greedy algorithm in a secure manner to perform the query and the min-heap technology to improve efficiency. The experimental result shows that our scheme is practical and efficient in terms of computational cost and communication overhead.

中文翻译:

PPO-CPQ:电子医疗系统临床途径查询的隐私保护优化

借助患者的健康数据,电子医疗保健提供商可以提供可靠的数据服务,以提供更好的医疗服务。例如,临床途径为临床治疗提供了最佳的详细指导。但是,电子医疗保健提供商无法处理海量的电子医疗保健数据,因此使用了一种流行且可行的解决方案将医疗数据外包给功能强大的云服务器(CS)。由于医疗数据非常敏感,但外包服务器不受完全信任,因此临床途径查询服务的直接执行将不可避免地给患者数据带来巨大的隐私风险。除了隐私问题外,还需要考虑效率问题,例如服务器和提供者之间的通信开销和计算成本。考虑到以上问题,本文提出了一种临床路径查询方案(PPO-CPQ)的隐私保护优化,以在不涉及患者姓名,性别,年龄和身体指标等私人信息的情况下,实现电子医疗CS下的安全临床路径查询。 ,也没有医院的敏感信息,例如治疗,用药和费用。在我们提出的方案中,它首先设计安全和隐私保护的几个子协议,例如隐私保护比较,隐私保护临床比较,隐私保护阶段选择和隐私保护阶段更新协议,以确保e-医疗系统,然后以安全的方式采用贪婪算法来执行查询,并采用最小堆技术来提高效率。
更新日期:2020-07-07
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